2027 Evaluating a Public Health Workforce Retention Initiative: A DrPH Applied Project Planning Guide
Co-Founder and Chief Data Scientist
A health department may invest in supervisor training, flexible scheduling, or career development without knowing whether those changes help employees stay. For an experienced practitioner, evaluating such an initiative can make a strong DrPH applied project - but only if the question, data access, and organizational decisions are defined before analysis begins.
This guide shows how to scope the evaluation, select credible measures and methods, protect employees, and produce findings a workforce leader can use. It also helps you decide whether the project fits your doctoral program and the partner organization's capacity.
Key Things You Should Know
- Define retention for a specified employee group and observation period; a 12-month measure is useful only if the organization can follow employees and account for transfers and incomplete records.
- Obtain both academic project approval and organizational permission before relying on personnel records or contacting employees; neither approval automatically substitutes for the other.
- Pair a retention outcome with implementation evidence, such as participation and supervisor follow-through. A change in departures alone cannot establish that the initiative caused it.
What Is a Public Health Workforce Retention Initiative Evaluation?
A public health workforce retention initiative is an organized attempt to reduce avoidable employee departures or improve employees' ability to remain in public health work. It might offer structured onboarding, mentoring, clearer advancement pathways, manageable workloads, or supervisor support. An evaluation asks whether the initiative was delivered as intended, whom it reached, what changed, and whether the findings justify continuing or revising it.
For a DrPH project, the central decision should belong to a real practice partner: for example, whether a health department should expand a mentoring program for environmental health staff. Define the eligible workforce and the decision date before selecting methods. An evaluation of how mentoring operates is a process evaluation; estimating whether it contributed to fewer departures is an outcome evaluation. Organizational improvement can use both without claiming that a proposed initiative has already succeeded.
A doctorate is not necessary to maintain a turnover dashboard or run a staff survey. If the reader's immediate goal is to learn foundational program evaluation rather than lead a complex organizational change, public health graduate programs with accessible entry may be a more proportionate educational starting point. Entry requirements still vary by institution.
How Do You Plan a DrPH Applied Project on Workforce Retention?
Begin with an authorized partner, a bounded workforce problem, and a decision the findings can inform. A department-wide promise to "solve turnover" is too broad; evaluating a defined onboarding change for newly hired disease investigators is more workable. Ask employees or their representatives how the problem is experienced, while recognizing that managers, HR staff, labor representatives, and community-serving teams may have different priorities.
The following sequence keeps the project aligned with organizational authority and doctoral expectations:
- Write a decision statement identifying the initiative, eligible employees, responsible leader, and decision the evaluation will support.
- Map how the initiative is supposed to work: resources, activities, participation, near-term changes, and a plausible route to retention.
- Check existing departures, vacancies, and staff feedback to establish what baseline evidence is available - not to presume the initiative is needed or effective.
- Agree on data ownership, employee contact, supervisor and faculty roles, reporting boundaries, and a backup plan if access is denied.
- Specify measures, comparison options, analysis, a reporting date, and a deliverable such as a decision brief and reusable measurement protocol.
Leadership is part of the work: the student may need to reconcile an HR definition of turnover with managers' concerns about coverage and employees' concerns about confidentiality. If field access must fit around a full-time job, compare realistic weekly commitments and leave policies; budget and pacing choices for public health students matter more than an advertised "online" label alone.
What Evaluation Frameworks Measure Public Health Workforce Retention?
Use a framework to organize decisions, not to replace a testable question. A logic model connects the initiative's activities to plausible outcomes. The CDC's program evaluation framework can structure engagement, description, evidence, conclusions, and use of findings. An implementation framework can add detail when the main uncertainty is whether sites or supervisors adopted the initiative consistently.
This comparison shows what each approach contributes to a retention project and where it falls short on its own.
| Approach | Best use | Important limitation |
| Logic model | Make assumptions linking mentoring, support, and retention visible | Does not demonstrate that the links are causal |
| Program evaluation framework | Organize stakeholder input, evidence standards, and use of findings | Does not prescribe a particular comparison group or analysis |
| Implementation framework | Examine reach, adoption, fidelity, and barriers across teams | Successful delivery does not necessarily improve retention |
For a practice-focused DrPH, combining a logic model with implementation and outcome measures often serves the partner better than pursuing the most elaborate statistical model available. If the primary goal is a sustained, theory-driven research agenda rather than an organizational decision, compare PhD supervision and funding separately; public health PhD tuition comparisons address a different educational route, not a substitute evaluation framework.
Start with the least sensitive data that can answer the decision question. HR records may identify employment dates, roles, transfers, and separation categories; implementation logs may show who was offered mentoring and whether sessions occurred. Existing climate surveys can provide context, while carefully designed interviews can explain why staff did or did not use the initiative. None should be assumed available merely because a student works at the organization.
This source comparison helps identify what each dataset can establish before the partner approves access.
| Source | Useful evidence | Access or interpretation concern |
| HR employment records | Eligible employees, start dates, departures, transfers | Restricted access; coding and historical consistency |
| Initiative records | Offers, participation, completion, timing | Missing entries and voluntary-participation bias |
| Staff surveys | Perceived support, workload, intent to stay | Low response, fear of identification, intent versus behavior |
| Interviews or listening sessions | Implementation barriers and unintended effects | Confidentiality and limits on generalization |
Ask the data steward for a field list, retention period, permission process, and rules for storage and reporting. In a small unit, even a table without names may reveal someone's departure; aggregate or suppress sensitive detail under the partner's disclosure rules. Routine data preparation can be a supervised analyst's task. Where that is the immediate staffing need, a public health BS program selection guide is more relevant to building an entry-level workforce pipeline than assuming a doctoral project is required for every data task.
Write each metric as a population, event, denominator, and time window. For example, 12-month retention could mean the share of eligible employees present at the start of a period who remain employed by the same organization 12 months later. Decide beforehand whether internal transfers count as retained and how to handle employees whose full follow-up period is unavailable. A different question - whether people stay in their original roles - requires a different numerator.
Keep the measures tied to distinct decisions: retention indicates an employment outcome; participation shows reach; completion or supervisor follow-through tests delivery; and perceived support may reveal an earlier change. Report these separately rather than combining them into an opaque "retention score." Examine results by role or unit only when group sizes and permissions allow safe interpretation. Changes in pay, hiring freezes, restructuring, or local labor demand may also affect departures.
Salary belongs in the context, but an occupation-wide wage figure is not a measure of this initiative's effect or an expected DrPH return. Readers considering their own education costs can examine average earnings after an MPH separately from the employer-specific compensation and retention data needed here.
Choose the simplest design that can credibly inform the partner's decision. A before-and-after comparison may describe changes following rollout, but it cannot isolate the initiative from concurrent events. A comparable unit that has not yet adopted the initiative can strengthen interpretation if workforce composition and prior trends are sufficiently similar. Interviews or open-ended survey responses can reveal mechanisms and unintended burdens that an employment count misses.
For example, a proposed mixed-methods evaluation could compare retention patterns before and after a mentoring rollout, review participation logs, and interview consenting staff about implementation. This is a design illustration, not a finding. Document missing records, differences between participants and nonparticipants, changing eligibility, and small-group uncertainty. If participation is voluntary, participants may differ from other employees before mentoring begins; a favorable comparison would not by itself prove an effect.
Advanced modeling is worthwhile only if the sample, time structure, and available covariates support it. Practitioners who need deeper quantitative preparation can consider comparing online biostatistics graduate programs, but targeted methods training or collaboration with an analyst may be more efficient for a bounded practice evaluation.
A useful evaluation is not automatically an approved DrPH experience. Ask the program which requirements apply to the applied practice experience, integrative project, dissertation or other doctoral deliverable; schools may organize and assess these differently. Confirm required competencies, faculty oversight, partner supervision, milestones, and whether work at your own employer is allowed.
Before beginning employee contact or receiving restricted records, obtain the partner's written authorization and the program's project approval. Ask the appropriate institutional office whether human-subjects review is required; neither a quality-improvement label nor a class assignment settles that determination. Separate permission to access data from permission to publish a report or present a portfolio sample.
An MPH applied practice experience is not interchangeable with a DrPH leadership project. If doctoral scope or qualifying professional experience is not yet a fit, public health master's entry with a modest GPA is a separate admissions question worth evaluating on its own terms; an MPH placement could build supervised experience without being represented as doctoral work.
Project duration depends less on how quickly a student can run an analysis than on partner agreements, academic review, HR extraction, employee recruitment, and whether a complete retention follow-up window already exists. A 12-month retention outcome cannot be observed prospectively in a shorter window; existing historical records or a shorter-term process measure may make an academic deadline feasible, with clear limits on the conclusions.
Build a project budget that separates program tuition and fees from evaluation expenses: approved staff time, transcription or survey tools if needed, secure storage, travel, and possible continuation enrollment if approvals or revisions take longer than planned. Do not assume an employer will pay, that existing-job duties count for credit, or that an online program eliminates site visits. Compare the school's actual credit load and project rules with your available leave and organizational support.
For the broader doctoral investment, public health doctorate value and affordability offers a starting point for comparing costs and potential career value. The decision still rests on a current, program-specific cost estimate and a realistic plan for completing the approved project.
Workforce evaluation skills are relevant to health department workforce-development managers, public health program evaluators, organizational improvement leads, and analysts supporting government or nonprofit employers. Their work may include defining measures, negotiating data access, interpreting staff feedback, presenting findings, and translating evidence into operational changes. Authority to change staffing policy usually depends on the role and employer - not possession of a DrPH alone.
An experienced practitioner can use an authorized project to demonstrate cross-functional leadership and sound evaluation judgment. Someone entering the field may instead build toward these responsibilities through supervised analyst, program coordination, or HR-adjacent work. An online public health degree for budget-conscious students may suit an earlier educational step, but the best route depends on existing qualifications and the target employer's job requirements. Compare vacancies by their actual duties rather than assuming every "workforce" role requires a doctorate.
How Do You Choose an Accredited DrPH Program for Applied Projects?
Check both the institution's recognized accreditation and the Council on Education for Public Health (CEPH) listing for the exact school, unit, or program offering the DrPH. Do not infer that every degree at an institution is within the same CEPH scope. Then compare current handbooks rather than promotional descriptions: the project's required form, whether an employer site is eligible, faculty and external-supervisor responsibilities, review procedures, and rules for confidential organizational work.
Ask a prospective program to show how a workforce-retention evaluation would meet its leadership and applied-project competencies. Clarify required campus visits, live meetings, project credits, continuation charges, and what happens if a partner withdraws access. A strong fit is a program that can supervise the proposed methods and help the student deliver a usable, ethically governed product - not simply one that advertises flexibility.
If the intended work is a smaller, supervised evaluation rather than doctoral organizational leadership, finding a lower-cost online MPH program may be a sensible comparison. Verify its fieldwork requirements separately; a lower advertised tuition figure does not resolve placement or scheduling constraints.
Other Things You Should Know About Public Health
Yes, if the partner authorizes it and the project defines their employment arrangements separately. A contract ending is not necessarily comparable to a permanent employee's resignation.
No. Vacancies describe unfilled positions; departures describe people leaving a defined group. Tracking both can show how staffing gaps develop without treating them as the same outcome.
Only within the permissions granted by the organization, program, and any applicable review or data-use process. A public presentation may require an aggregated or redacted version.
A carefully documented null or inconclusive result can still support a decision. Report implementation problems, data limitations, and plausible alternative explanations before recommending whether to revise, continue, or stop the initiative.
- CDC Program Evaluation Framework, 2024 | MMWR https://www.cdc.gov/mmwr/volumes/73/rr/rr7306a1.htm
- Practical recommendations for the evaluation of improvement initiatives - PMC https://pmc.ncbi.nlm.nih.gov/articles/PMC5909656/
- Privacy in the Workplace | priv.gc.ca https://www.priv.gc.ca/en/privacy-topics/employers-and-employees/02_05_d_17/
- Evaluation design | aifs.gov.au https://aifs.gov.au/resources/practice-guides/evaluation-design
- Missing Data and Multiple Imputation | Columbia University Mailman School of Public Health https://www.publichealth.columbia.edu/research/population-health-methods/missing-data-and-multiple-imputation
- 3.2 What are implementation outcomes? | unimelb.edu.au https://mspgh.unimelb.edu.au/centres-institutes/nossal-institute-for-global-health/implementation-science/how/step-3-evaluating/implementation-outcomes
- DrPH in Implementation and Evaluation Science | Emory University https://sph.emory.edu/degrees-programs/drph/implementation-and-evaluation-science
- Concentration in Implementation Science | Johns Hopkins https://publichealth.jhu.edu/academics/drph/curriculum/concentration-in-implementation-science
- 12. Evaluating the Initiative - Community Tool Box https://ctb.ku.edu/en/evaluating-initiative
- A conceptual framework for implementation fidelity | springer.com https://link.springer.com/article/10.1186/1748-5908-2-40
